• Title, Summary, Keyword: 지방간선운영

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Calculating and Improving Operational Decision-Making Indices for Public Railways by Inclusion of Non-economic Factors (비경제성 요소를 포함한 철도운행 의사결정을 위한 지표 산정 및 개선에 관한 연구)

  • Yang, Jungyu;Ha, Ohkeun;Kim, Ikhee
    • Journal of the Korean Society for Railway
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    • v.16 no.1
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    • pp.65-70
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    • 2013
  • In many cases, operation of regional trunk lines is not profitable to railway operators. Nevertheless, railway operators are under pressure to manage regional trunk lines running under deficits, to better serve public interests. Given this situation, railway operators need to optimize assets by adjusting train schedules or changing the number of trains running. When railway operators judge the operation of a regional trunk line, the B/C ratio is generally used as a management index. This ratio is not considered part of strategic operational policy over the long term, and excessively influenced by the aspects of supply and demand over the short term. Accordingly, this study focused on indices that might be used to prevent worsening deficits and provide long term strategic operation policies, main indices to better measure economic situations, and auxiliary indices to supplement the main index. The main indices were measured in conventional ways to target experts and employees. This study presents quantitative standards, which are intended to be used to create itemized criteria through an Analytic Hierarchy Process, for better decision-making.

Development of Exit-Ramp Control Strategy Avoiding Mainline Spillover for Urban Freeway (과포화 신호제어 기법을 응용한 도시고속도로 진출램프 제어전략의 개발)

  • 김영찬;이철기;허혜정
    • Journal of Korean Society of Transportation
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    • v.19 no.3
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    • pp.89-100
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    • 2001
  • 내부순환로의 진출램프 중 성산, 홍은, 홍제, 길음, 마장 진출램프에서는 램프의 지체가 심각하여, 진출차량의 대기행렬이 내부순환로 본선에까지 이르는 대기행렬 역류현상이 발생하고 있다. 이러한 본선으로의 대기행렬 역류는 본선의 혼잡을 가중시키고 교통사고의 위험도 증가시킨다. 본 논문에서는 이러한 도시고속도로의 진출램프 혼잡을 개선하기 위해 진출램프 제어전략을 개발하였다. 진출램프 제어전략의 목표는 진출램프의 대기차량이 본선으로 역류하지 않도록 하는 것이다. 대기행렬의 역류를 막기 위해서는 진출램프의 차량이 인접한 간선도로로 원활하게 진행하도록 해야 하며, 간선도로와 진출램프의 대기행렬을 제어정책에 따라 관리할 수 있어야 한다. 이를 위해서 진출램프 진출부에 신호를 설치하여 간선도로차량의 흐름을 제어하고, 진출부 하류부 교차로와 연동제어를 하여 진출공간을 확보하였다. 또한, 대기행렬의 관리를 위해서는 대기행렬 관리계수를 정의하고 이 값에 따라 현시를 결정할 수 있는 제어식을 유도하였다. 진출램프 제어전략은 과포화 신호제어 기법을 응용하여 개발하였으며, 그 중 Equity offset과 내부미터링 기법을 연동제어에 응용하였고, Imbalanced split 기법은 대기행렬 관리계수에 따라 현시가 결정되는 제어식의 개발에 응용하였다. 진출램프 제어전략을 평가하기 위하여 진출램프의 혼잡으로 인해 본선으로 대기행렬 역류가 발생하는 내부순환로의 홍은, 홍제 진출램프를 선정하였으며, NETSIM을 통해 진출램프 제어전략의 효과를 분석하였다. 분석결과 진출램프의 혼잡이 크게 개선되며, 운영자의 관리목적에 따라 대기행렬의 관리가 이루어지는 것을 볼 수 있었다. 진출램프 제어전략은 내부순환 도시고속도로뿐만 아니라 진출램프 제어가 필요한 타도시고속도로에서도 적용을 하면 좋은 효과를 얻을 수 있을 것으로 예상된다.

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On-Line Travel Time Estimation Methods using Hybrid Neuro Fuzzy System for Arterial Road (검지자료합성을 통한 도시간선도로 실시간 통행시간 추정모형)

  • 김영찬;김태용
    • Journal of Korean Society of Transportation
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    • v.19 no.6
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    • pp.171-182
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    • 2001
  • Travel Time is an important characteristic of traffic conditions in a road network. Currently, there are so many road users to get a unsatisfactory traffic information that is provided by existing collection systems such as, Detector, Probe car, CCTV and Anecdotal Report. This paper presents the results achieved with Data Fusion Model, Hybrid Neuro Fuzzy System for on - line estimation of travel times using RTMS(Remote Traffic Microwave Sensor) and Probe Data in the signalized arterial road. Data Fusion is the most important process to compose the various of data which can present real value for traffic situation and is also the one of the major process part in the TIC(Traffic Information Center) for analyzing and processing data. On-line travel time estimation methods(FALEM) on the basis of detector data has been evaluated by real value under KangNam Test Area.

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A Study on the Optimal Aggregation Interval for Travel Time Estimation on the Rural Arterial Interrupted Traffic flow (지방부 간선도로 단속류 통행시간 추정을 위한 적정 집락간격 결정에 관한 연구)

  • Lim Houng-Seak;Lee Seung-Hwan;Lee Hyun-Jae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.3 no.2
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    • pp.129-140
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    • 2004
  • In this paper, we conduct the research about optimal aggregation interval of travel time data on interrupted traffic flow and verify the reliability of AVI collected data by using car plate matching method in RTMS for systematic collection and analysis of link travel time data on interrupted traffic flow rural arterial. We perform Kolmosorov-Smirnov test on AVT collected sample data and on entire population data, and conclude that the sample data does not represent pure random sampling and hence includes sample collection error. We suggest that additional review is necessary to investigate the effectiveness of AVI collected sample data as link representative data. We also develop statistical model by applying two estimation techniques namely point estimation and interval estimation for calculating optimal aggregation interval. We have implemented our model and determine that point estimate is preferable over interval estimate for exactly selecting and deciding optimal aggregation interval. Our final conclusion is that 5-minute aggregation interval is optimal to estimate travel time in RTMS, as is currently being used our investigation is based on AVI data collected from Yang-ji to Yong-in $42^{nd}$ National road.

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Development of Real-Time Optimal Bus Scheduling Models (실시간 버스 운행계획수립 모형 개발)

  • Kim, Wongil;Son, Bongsoo;Chung, Jin-Hyuk;Lee, Jeomho
    • Journal of The Korean Society of Civil Engineers
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    • v.28 no.5D
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    • pp.587-595
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    • 2008
  • Many studies on bus scheduling optimization have been done from the 1960s to recent years for establishing rational bus schedule plan that can improve convenience of bus passengers and minimize unnecessary runs. After 2000, as part of the Intelligent Transport Systems (ITS), the importance of the schedule management and providing schedule information through bus schedule optimization has become a big issue, and much research is being done to develop optimization models that will increase bus passenger convenience and, on the side of bus management, minimize unnecessary bus operation. The purpose of this study is to calculate the optimal bus frequency and create a timetable for each bus stop by applying DTR or DTRC model that use data for each bus stop and route segment. Model verification process was implemented using data collected from bus management system (BMS) and integrated transit-fare card system for bus route of Seoul's No. 472 line. In order to evaluate the reliability and uncertainty of optimal solution, sensitivity analysis was implemented for the various parameters and assumptions used in the bus scheduling model.

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A Comparative Study on the Statistical Methodology to Determine the Optimal Aggregation Interval for Travel Time Estimation of the Interrupted Traffic Flow (단속류 통행시간 추정을 위한 적정 집락간격 결정에 관한 통계적 방법론 비교 연구)

  • Lim, Houng-Seok;Lee, Seung-Hwan;Lee, Hyun-Jae
    • Journal of Korean Society of Transportation
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    • v.23 no.3
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    • pp.109-123
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    • 2005
  • The goals of this paper are two folds: i) to evaluate whether the data collected by a license plate matching AVI equipment being operated on some segment of a national highway are suitable or not for use in travel time estimation of interrupted traffic flows; ii) to study the statistical methodologies to be used for the determination of the optimal aggregation interval for travel time estimation. In this study it was found that the AVI data are not representative because the data are collected on some selected lanes of a roadway where main traffic is thru-traffic and, thus the AVI data are different from those collected from all lanes in traffic characteristics. For the determination of the optimal aggregation interval for travel time estimation. two statistical methods. namely point estimation and interval estimation. were tested. The test shows that the point estimation method is more sensitive and gives more desirable results in determing the optimal aggregation interval than the interval estimation method. And it turned out that the optimal aggregation interval on interrupted traffic flows has been calculated as 5 minute and thus the existing aggregation interval. 5 minute is proper.